What It Is
High-bandwidth memory stacks DRAM dies and uses dense interconnects to feed accelerators with more data per second than conventional DRAM channels. It has become a core memory class for AI training and inference systems, alongside other specialized memory families.
Why It Matters
Accelerator performance is increasingly limited by memory bandwidth and capacity, not just transistor count. HBM packaging, supply and interface IP now sit on the critical path for AI system design.
What to Watch
Follow HBM generation transitions, how memory is co-packaged with logic, and which interface IP and foundry packaging platforms are used to attach HBM to accelerators.
